Assessment in education is broken -- instructors spend hours grading, and yet don't get a clear picture of what their students are struggling with. Gradescope lets instructors give out the same paper-based assignments they've always used, but then grade them online, while keeping track of the exact mistakes made by every student on every question. This enables unprecedented data analytics: we can reveal which concepts a student needs help with, or which questions are too difficult. To top it off, instructors finish grading in half the time. We're now applying computer vision to help instructors grade even faster.

Our product has been used to grade over 10 million questions belonging to over 100,000 students. We recently raised a seed round, and are hiring a senior full-stack engineer to join our team of 7. We offer market-rate salary with generous equity. We've got a Rails backend with some React on the frontend.

Why should students have to put up with exorbitant prices for boring test prep classes and books that might not even work? Our mission is simple: create products that give students everywhere access to enjoyable, affordable, and quality test prep. We help millions study at their own pace, on their own time regardless of location, social status, or background.

We’re looking for a Senior Software Engineer to help us improve our products, shape engineering process, and help us grow our small (currently just Zack and I!) but impactful engineering team. So far we use Rails, PhoneGap + Angular, and ReactNative. We’re hosted on AWS.

You have many of the following...

* 3+ years of software engineering experience

* Experience building and releasing web and/or mobile applications

* Experience interviewing software engineering candidates

* A passion for making a difference and leveling the education playing field

We use computer vision and machine learning to improve gamma-ray radiation detection and mapping. For example, we have used these techniques to map contamination, in real-time, in 3-D in Fukushima, Japan. We integrate LiDAR and visual sensors with gamma-ray detectors on handheld and aerial platforms (UAVs).

We are looking for an engineer who is interested in working with computer vision sensors. This can include: building multi-sensor packages with small computers, designing and implementing algorithms and analyzing data. We use ROS, Linux and scientific Python. Some interest/background in physics could be helpful.
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